Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does disclose the payment model (0.01 USDC on Base, pay-per-use), which is genuinely useful context, but says nothing about what happens to the input, what form the 'narrowed futures' take, or whether the call is deterministic.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with the purpose front-loaded. The 'Auto-created from research:' prefix is low-value noise, but the total length is appropriate and nothing is buried.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter tool with no annotations and no output schema, the description covers purpose and cost but leaves the one required parameter undefined and provides no way to choose it over the many sibling future-* tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is nominally 100%, which sets the baseline at 3. The description adds no parameter meaning beyond the schema, and the schema's own label ('entrada') is a tautology, so neither source tells the agent what content to supply.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'explore and narrow their future possibilities based on AI insights and predictions.' That is a clear resource-level purpose, but it never distinguishes itself from the many sibling expander/broadener tools (future-expander, futures-broadener, horizon-expander), leaving the agent to guess what 'input' should contain.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool, when not to, or which alternative to prefer. Given the crowded sibling space of near-identical future-exploration tools, this absence is a meaningful gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.